notion
30 articles about notion in AI news
PhD Researcher Replaces Notion & Email Tools with AI Agent 'Muse'
A researcher has reportedly replaced multiple productivity tools (Notion, note-taking apps, inbox triage) with a custom AI agent named 'Muse'. This highlights a growing trend of using specialized AI agents to consolidate workflows.
Open-Source AI Crew Replaces Notion, Obsidian with 8 Local Agents
A researcher has built a fully local, open-source system of 8 specialized AI agents that work together to manage an Obsidian vault—handling notes, inboxes, meetings, and deadlines. It replaces separate tools like Notion and inbox triagers with an autonomous, interconnected crew.
This Notion MCP Bug Tracker Automates Error Logging—Here's How to Use It
A new MCP server automatically logs and categorizes errors to Notion, turning raw console output into structured bug reports.
OpenAI Expands Codex Plugin Ecosystem to Slack, Figma, Notion, and Gmail
OpenAI has rolled out new plugins connecting its Codex model to productivity tools like Slack, Figma, Notion, and Gmail, moving code generation beyond the IDE into broader workflows.
How to Connect Your Claude Code Scripts to Notion with the Official MCP Server
Use the official Notion MCP server to log your AI script's output directly to a Notion database, creating a real-time dashboard without writing API calls.
MiniMax M2.5 Debuts as First Open-Weight AI Model in Notion's Custom Agents
MiniMax AI has launched its M2.5 model as the first open-weight AI integrated into Notion's Custom Agents platform. The model is optimized for lightweight, high-frequency tasks, potentially democratizing AI customization within productivity workflows.
Claude-Obsidian Open-Source Plugin Aims to Automate Knowledge Management
A developer announced Claude-Obsidian, an open-source plugin that uses AI to autonomously file, cross-reference, and research within Obsidian, citing it as a reason to delete Notion AI.
Cobl AI Launches Multi-Agent Platform for Business Document Generation
Cobl, a new startup, has launched a multi-agent AI platform designed to generate business documents like proposals and reports. It enters a competitive space dominated by established players like Notion AI and Microsoft Copilot.
BlogCast MCP: Publish to Dev.to, Hashnode, and Medium with One Claude Code Command
An open-source MCP server that turns Notion into a publishing hub, letting you deploy blog posts to multiple platforms with a single sentence to Claude.
Microsoft: LLMs Corrupt 25% of Docs in Long Edits
Microsoft paper shows LLMs corrupt ~25% of documents across 52 domains during 20-edit sessions, with failures compounding silently.
OpenAI Launches ChatGPT Workspace Agents for Team Automation
OpenAI has introduced workspace agents within ChatGPT, powered by Codex, designed to automate complex, multi-step workflows for teams across shared environments like Slack. These agents can gather context, execute tasks, request approvals, and run continuously in the cloud.
Turn Claude Code Into an AI SRE
Five proven outer-loop workflows for using Claude Code as an AI SRE: incident triage, runbook execution, postmortem drafting, SLO investigation, and on-call handoffs. The bottleneck isn't the model — it's the MCP runtime.
Onyx: Open-Source AI Enterprise Search Challenges Glean's $7.2B Valuation
Open-source platform Onyx provides self-hosted AI enterprise search connecting to 40+ tools, offering a free alternative to Glean's $50/user/month SaaS. Backed by YC and $10M seed funding, it's used by Netflix and Ramp.
Omar Sarayra Builds LLM Artifact Generator for AI Knowledge Discovery
Omar Sarayra created a system that transforms dense LLM knowledge bases into consumable visual artifacts, like a pulse on HN AI discussions. He argues this format could become a new medium for staying current.
Ethan Mollick: AI Judgment & Problem-Solving Are Skills, Not Human Exclusives
Ethan Mollick contends that skills like judgment and problem-solving, often cited as uniquely human, are domains where AI can and does demonstrate competence, reframing them as learnable capabilities.
Clerk: Auto-Summarize Every Claude Code Session into Searchable Markdown
Install Clerk to automatically generate Markdown summaries of every Claude Code session, making your debugging, research, and architecture decisions searchable across projects.
Cabinet Launches Open-Source 'Startup OS' with 20 AI Agents
Cabinet, an open-source 'Startup OS,' has launched, offering a suite of 20 AI agents designed to automate various business functions. The platform is positioned as a free alternative to paid AI team solutions.
Google DeepMind Researcher: LLMs Can Never Achieve Consciousness
A Google DeepMind researcher has publicly argued that large language models, by their algorithmic nature, can never become conscious, regardless of scale or time. This stance challenges a core speculative narrative in AI discourse.
OpenAI Codex Gains Screen Control, Long-Run Agents, and 90+ Plugins
OpenAI has upgraded Codex from a code-completion tool to an agentic macOS assistant that can see/click screens, run for weeks autonomously, and integrate with 90+ dev tools. This marks a strategic move into persistent, multi-modal coding agents.
How to Automate Meeting Notes and Action Items with Read AI's MCP Server
Integrate Read AI's MCP server with Claude Code to transform meeting audio into structured notes, decisions, and code-ready tasks without leaving your IDE.
Emergent AI Launches Work Stress Copilot, Integrates with Slack & Teams
Emergent AI has launched a new 'Work Stress Copilot' agent that integrates with Slack and Microsoft Teams to autonomously manage calendar scheduling, email triage, and meeting prep. The tool aims to directly reduce cognitive load by automating repetitive administrative work.
3D-Printed Rocket Uses $5 Sensor for AI-Guided Mid-Flight Correction
A builder created a fully 3D-printed rocket that uses a $5 sensor and AI to recalculate its trajectory mid-air. This showcases accessible, real-time control systems outside traditional aerospace.
HARPO: A New Agentic Framework for Conversational Recommendation Aims to
A new research paper introduces HARPO, a hierarchical agentic reasoning framework for conversational recommender systems. It reframes recommendation as a structured decision-making process, directly optimizing for interpretable quality dimensions like relevance, diversity, and predicted satisfaction. The approach shows consistent improvements on recommendation-centric metrics across three datasets.
Baidu's RLVR Method Boosts Open-Ended Reasoning by 3.29 Points on 14B Model
Baidu researchers developed RLVR, a method that reformulates subjective tasks like writing as verifiable multiple-choice questions for reinforcement learning. This approach improved a 14B reasoning model by an average of 3.29 points across seven open-ended benchmarks compared to standard RLHF.
Linux Kernel Adopts AI Code Policy: Developers Must Disclose, Remain Liable
The Linux kernel project has established a formal policy permitting AI-assisted code contributions, requiring strict developer disclosure. Crucially, the human developer retains full legal and technical liability for any submitted code, treating AI as just another tool.
OpenAI Forecasts $121B in AI Hardware Costs for 2028
OpenAI is forecasting its own AI research hardware costs will reach $121 billion in 2028, according to a WSJ report. This figure highlights the extreme capital intensity required to compete at the frontier of AI.
Engramme Building 'Large Memory Models' to Surface Personal Context
Engramme, founded by Gabriel Kreiman, is developing 'Large Memory Models' (LMMs) designed to connect to a user's digital life and surface relevant context without explicit prompting. The goal is to augment human memory by making personal data available at the right moment.
Goal-Aligned Recommendation Systems: Lessons from Return-Aligned Decision Transformer
The article discusses Return-Aligned Decision Transformer (RADT), a method that aligns recommender systems with long-term business returns. It addresses the common problem where models ignore target signals, offering a framework for transaction-driven recommendations.
Chamath Palihapitiya: AI's Biggest Profits Won't Go to Model Makers
VC Chamath Palihapitiya posits that the greatest financial winners in AI will be application builders with unique distribution, not the foundational model creators, drawing a parallel to refrigeration and Coca-Cola.
AI Research Loop Paper Claims Automated Experimentation Can Accelerate AI Development
A shared paper highlights research into using AI to run a mostly automated loop of experiments, suggesting a method to speed up AI research itself. The source notes a potential problem with the approach but does not specify details.